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Yangyang Luo; Xibin Han; Chaoyang Zhang – Asia Pacific Education Review, 2024
Learning outcomes can be predicted with machine learning algorithms that assess students' online behavior data. However, there have been few generalized predictive models for a large number of blended courses in different disciplines and in different cohorts. In this study, we examined learning outcomes in terms of learning data in all of the…
Descriptors: Prediction, Learning Management Systems, Blended Learning, Classification
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Mohd Fazil; Angelica Rísquez; Claire Halpin – Journal of Learning Analytics, 2024
Technology-enhanced learning supported by virtual learning environments (VLEs) facilitates tutors and students. VLE platforms contain a wealth of information that can be used to mine insight regarding students' learning behaviour and relationships between behaviour and academic performance, as well as to model data-driven decision-making. This…
Descriptors: Learning Analytics, Learning Management Systems, Learning Processes, Decision Making
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Balti, Rihab; Hedhili, Aroua; Chaari, Wided Lejouad; Abed, Mourad – Education and Information Technologies, 2023
Since the COVID pandemic, universities propose online education to ensure learning continuity. However, the insufficient preparation led to a major drop in the learner's performance and his/her dissatisfaction with the learning experience. This may be due to several reasons, including the insensitivity of the virtual learning environment to the…
Descriptors: Cognitive Style, Pandemics, COVID-19, Distance Education
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Roark, Casey L.; Lehet, Matthew I.; Dick, Frederic; Holt, Lori L. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2022
Category learning is fundamental to cognition, but little is known about how it proceeds in real-world environments when learners do not have instructions to search for category-relevant information, do not make overt category decisions, and do not experience direct feedback. Prior research demonstrates that listeners can acquire task-irrelevant…
Descriptors: Classification, Learning Processes, Schemata (Cognition), Decision Making
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Marcantonio, Tiffany; Angelone, D. J.; Sledjeski, Eve – Journal of American College Health, 2016
Objectives: The purpose of this study was to examine the impact of several potential factors related to sexually risky behaviors in study abroad students. The authors utilized a pattern-centered analysis to identify specific groups that can be targeted for intervention. Participants: The sample consisted of 173 students who studied abroad in a…
Descriptors: Risk, Sexuality, Study Abroad, College Students
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Fanfarelli, Joseph R.; McDaniel, Rudy – Journal of Educational Technology Systems, 2015
Badge use has rapidly expanded in recent years and has benefited a variety of applications. However, a large portion of the research has applied a binary "useful" or "not useful" approach to badging. Few studies examine the characteristics of the user and the impact of those characteristics on the effectiveness of the badging…
Descriptors: College Students, Recognition (Achievement), Individual Differences, Student Characteristics
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Zhukov, Katie – Psychology of Music, 2013
This study examined verbal and non-verbal teacher/student interpersonal interactions in higher education instrumental music lessons. Twenty-four lessons were videotaped and teacher/student behaviours were analysed using a researcher-designed instrument. The findings indicate predominance of student and teacher joke among the verbal behaviours with…
Descriptors: Interpersonal Relationship, Music Education, Teacher Student Relationship, Nonverbal Communication
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Suranyi, Zsuzsanna; Hitchcock, David B.; Hittner, James B.; Vargha, Andras; Urban, Robert – International Journal of Behavioral Development, 2013
Previous research on sensation seeking (SS) was dominated by a variable-oriented approach indicating that SS level has a linear relation with a host of problem behaviors. Our aim was to provide a person-oriented methodology--a probabilistic clustering--that enables examination of both inter- and intra-individual differences in not only the level,…
Descriptors: Personality Traits, Behavior Problems, Conceptual Tempo, Individual Differences
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Roman, Mallory; Medvedev, Katalin – College Student Journal, 2011
There's ample evidence that peer approval and group acceptance play a role in many social phenomena. This influence can manifest itself through the bystander effect, peer pressure, social facilitation and in many other ways. However, dress as a means of social influence has been largely ignored. This study was designed to determine whether peer…
Descriptors: Student Attitudes, Purchasing, Social Influences, Peer Influence
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Stanford, Sarah; Jones, Michael P. – Journal of Child Psychology and Psychiatry, 2009
Background: Research to date suggests that as many as 12-15% of young people engage in self-harm behaviour; however, the current understanding of the psychological basis of adolescent self-harm is limited. The objective was to determine whether adolescents who self-harm are a psychologically homogenous group. It was hypothesised that psychological…
Descriptors: Adolescents, Psychology, Behavior Patterns, College Students
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Blinn-Pike, Lynn; Worthy, Sheri Lokken; Jonkman, Jeffrey N.; Smith, G. Rush – Adolescence (San Diego): an international quarterly devoted to the physiological, psychological, psychiatric, sociological, and educational aspects of the second decade of human life, 2008
The first purpose of this study was to report how many college students, 18 to 25 years of age, are classified as "emerging adults," "undecideds" or "adults." The second purpose was to determine the relationships between emerging adults versus adults and (a) background characteristics, (b) risk-taking behaviors; (c) sensation-seeking scores, and…
Descriptors: College Students, Low Income, Young Adults, Classification
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Gastorf, John W. – Journal of Consulting and Clinical Psychology, 1980
The results indicated that those subjects who possessed the coronary-prone behavior pattern (Type As) arrived earlier than those subjects who did not exhibit this behavior pattern (Type Bs). (Author)
Descriptors: Adults, Behavior Patterns, Behavioral Science Research, Classification
Strube, Michael J.; And Others – 1984
Past research has established clear behavioral differences between Type A and Type B individuals. The manner in which these behavioral differences are represented in the self-definitions of Type As and Bs was examined in a group of 42 college students. The existence of Type A and B self-schemata was investigated using two tasks designed to measure…
Descriptors: Behavior Patterns, Classification, College Students, Congruence (Psychology)